U.S. patent application number 17/826408 was filed with the patent office on 2022-09-08 for systems and methods for time-based advertising.
This patent application is currently assigned to AT&T Intellectual Property I, L.P.. The applicant listed for this patent is AT&T Intellectual Property I, L.P.. Invention is credited to James Carlton Bedingfield, SR., Nigel Bradley, Ari Craine, Robert Koch, Anna Lidzba, Alexander MacDougall.
Application Number | 20220284474 17/826408 |
Document ID | / |
Family ID | 1000006362443 |
Filed Date | 2022-09-08 |
United States Patent
Application |
20220284474 |
Kind Code |
A1 |
MacDougall; Alexander ; et
al. |
September 8, 2022 |
SYSTEMS AND METHODS FOR TIME-BASED ADVERTISING
Abstract
Aspects of the subject disclosure may include, for example,
storing, in a database, information associated with a first item
purchased by a user, the information comprising an identification
of the first item and a time of purchase of the first item;
receiving web browsing data based upon monitoring, by another
device, web browsing of the user; determining, based upon the web
browsing data that is received, whether the user is currently
browsing at a shopping website, resulting in a determination;
responsive to the determination being that the user is currently
browsing at the shopping website, querying the database to
determine an elapsed time since the time of purchase of the first
item; responsive to the elapsed time meeting a threshold,
generating a message to send to the another device monitoring the
web browsing, the message informing the user of a suggested second
item for the buyer to purchase, the suggested second item being a
replacement for the first item; and sending the message to the
another device for presentation to the user. Other embodiments are
disclosed.
Inventors: |
MacDougall; Alexander;
(Newnan, GA) ; Lidzba; Anna; (Atlanta, GA)
; Bradley; Nigel; (Canton, GA) ; Bedingfield, SR.;
James Carlton; (Gainesville, GA) ; Craine; Ari;
(Marietta, GA) ; Koch; Robert; (Norcross,
GA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
AT&T Intellectual Property I, L.P. |
Atlanta |
GA |
US |
|
|
Assignee: |
AT&T Intellectual Property I,
L.P.
Atlanta
GA
|
Family ID: |
1000006362443 |
Appl. No.: |
17/826408 |
Filed: |
May 27, 2022 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
16863453 |
Apr 30, 2020 |
11379875 |
|
|
17826408 |
|
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|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06Q 30/0255 20130101;
G06Q 30/0641 20130101; G06N 20/00 20190101 |
International
Class: |
G06Q 30/02 20060101
G06Q030/02; G06N 20/00 20060101 G06N020/00; G06Q 30/06 20060101
G06Q030/06 |
Claims
1. A device comprising: a processing system including a processor;
and a memory that stores executable instructions that, when
executed by the processing system, facilitate performance of
operations, the operations comprising: monitoring web browsing of a
mobile device associated with a user; determining from the web
browsing that the user is browsing a shopping website associated
with a first item; querying a database to determine an elapsed time
since a purchase of the first item; responsive to the elapsed time
exceeding a threshold, generating a message indicating to purchase
a second item as replacement for the first item; and transmitting,
over a communication network, the message to a virtual assistant
associated with the user, wherein the virtual assistant comprises a
stand-alone device including a speaker, wherein the virtual
assistant is separate from the mobile device, wherein the virtual
assistant provides the message over the speaker.
2. The device of claim 1, wherein the first item has a
predetermined useful life, and wherein the message is generated
based upon the predetermined useful life and the elapsed time in
order to provide notification to the user of the second item as the
replacement for the first item at an end of the predetermined
useful life of the first item.
3. The device of claim 1, wherein the monitoring of the web
browsing comprises monitoring the web browsing periodically.
4. The device of claim 1, wherein time of purchase of the first
item is stored as a calendar day.
5. The device of claim 1, wherein the elapsed time is determined as
a number of days, a number of weeks, or a number of years.
6. The device of claim 1, wherein the message comprises an
advertisement, a recommendation, or a combination thereof.
7. The device of claim 1, wherein the virtual assistant comprises a
graphical user interface GUI, wherein the GUI presents the
message.
8. The device of claim 1, wherein the operations comprise
determining that the second item fits in a space associated with
the second item according to dimensions of space associated with
the second item.
9. The device of claim 8, wherein the message indicates that the
second item fits in the space associated with the second item.
10. A non-transitory, machine-readable medium comprising executable
instructions that, when executed by a processing system including a
processor, facilitate performance of operations, the operations
comprising: monitoring web browsing of a mobile device associated
with a user; determining from the web browsing that the user is
browsing a shopping website associated with a first item;
determining an elapsed time since a purchase of the first item;
responsive to the elapsed time exceeding a threshold, generating a
message indicating to purchase a second item as replacement for the
first item; and transmitting, over a communication network, the
message to a virtual assistant associated with the user, wherein
the virtual assistant comprises a stand-alone device including a
speaker, wherein the virtual assistant is separate from the mobile
device, wherein the virtual assistant provides the message over the
speaker.
11. The non-transitory, machine-readable medium of claim 10,
wherein the first item has a predetermined useful life, and wherein
the message is generated based upon the predetermined useful life
and the elapsed time in order to provide notification to the user
of the second item as the replacement for the first item at an end
of the predetermined useful life of the first item.
12. The non-transitory, machine-readable medium of claim 10,
wherein the monitoring of the web browsing comprises monitoring the
web browsing periodically.
13. The non-transitory, machine-readable medium of claim 10,
wherein time of purchase of the first item is stored as a calendar
day.
14. The non-transitory, machine-readable medium of claim 10,
wherein the elapsed time is determined as a number of days, a
number of weeks, or a number of years.
15. The non-transitory, machine-readable medium of claim 10,
wherein the message comprises an advertisement, a recommendation,
or a combination thereof.
16. The non-transitory, machine-readable medium of claim 10,
wherein the virtual assistant comprises a graphical user interface
GUI, wherein the GUI presents the message.
17. The non-transitory, machine-readable medium of claim 10,
wherein the operations comprise determining that the second item
fits in a space associated with the second item according to
dimensions of space associated with the second item.
18. The non-transitory, machine-readable medium of claim 17,
wherein the message indicates that the second item fits in the
space associated with the second item.
19. A method, comprising: monitoring, by a processing system
including a processor, web browsing of a mobile device associated
with a user; determining, by the processing system, from the web
browsing that the user is browsing a shopping website associated
with a first item; querying, by the processing system, a database
to determine an elapsed time since a purchase of the first item;
responsive, by the processing system, to the elapsed time exceeding
a threshold, generating a message indicating to purchase a second
item as replacement for the first item; and transmitting, by the
processing system, over a communication network, the message to a
virtual assistant associated with the user, wherein the virtual
assistant comprises a stand-alone device including a speaker,
wherein the virtual assistant is separate from the mobile device,
wherein the virtual assistant provides the message over the
speaker.
20. The method of claim 19, comprising wherein the first item has a
predetermined useful life, and wherein the message is generated
based upon the predetermined useful life and the elapsed time in
order to provide notification to the user of the second item as the
replacement for the first item at an end of the predetermined
useful life of the first item.
Description
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. patent
application Ser. No. 16/863,453, filed Apr. 30, 2020, which is
incorporated herein by reference in its entirety.
FIELD OF THE DISCLOSURE
[0002] The subject disclosure relates to systems and methods for
time-based advertising.
BACKGROUND
[0003] Various conventional websites provide shopping suggestions
based, for example, upon past purchase history.
BRIEF DESCRIPTION OF THE DRAWINGS
[0004] Reference will now be made to the accompanying drawings,
which are not necessarily drawn to scale, and wherein:
[0005] FIG. 1 is a block diagram illustrating an example,
non-limiting embodiment of a communication network in accordance
with various aspects described herein.
[0006] FIG. 2A is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2A
shows examples of a purchase of one item (sometimes referred to
herein instead as a product) at a physical point-of-purchase and
purchase of another item via a website).
[0007] FIG. 2B is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2B
shows an example of a suggestion to purchase an item that is
compatible with another item).
[0008] FIG. 2C is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2C
shows an example of information that is provided to a user based
upon a prior purchase by the user).
[0009] FIG. 2D is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2D
shows an example of information that is provided based upon one or
more specifications of another item).
[0010] FIG. 2E is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2E
shows an example of storing information regarding a user of a
product that is purchased by a buyer, wherein the information is
obtained in connection with a physical point-of-purchase).
[0011] FIG. 2F is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2F
shows an example of storing information regarding a user of a
product that is purchased by a buyer, wherein the information is
obtained in connection with a purchase via a website).
[0012] FIG. 2G is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2G
shows an example of a suggestion to purchase a product based on a
current age of a user).
[0013] FIG. 2H is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2H
shows an example of storing information (such as planned usage
location) regarding a product that is purchased by a buyer, wherein
the information is obtained in connection with a physical
point-of-purchase).
[0014] FIG. 2I is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2I
shows an example of storing information (such as planned usage
location) regarding a product that is purchased by a buyer, wherein
the information is obtained in connection with a purchase via a
website).
[0015] FIG. 2J is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2J
shows an example of a suggestion to purchase a product as a
replacement for a previously purchased product).
[0016] FIG. 2K is a block diagram illustrating an example,
non-limiting embodiment of a system (all or part of which can, for
example, function within the communication network of FIG. 1) in
accordance with various aspects described herein (this FIG. 2K
shows an example of a suggestion to purchase an item as a
replacement for a previously purchased item).
[0017] FIG. 2L depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0018] FIG. 2M depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0019] FIG. 2N depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0020] FIG. 2O depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0021] FIG. 2P depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0022] FIG. 2Q depicts an illustrative embodiment of a method in
accordance with various aspects described herein.
[0023] FIG. 3 is a block diagram illustrating an example,
non-limiting embodiment of a virtualized communication network in
accordance with various aspects described herein.
[0024] FIG. 4 is a block diagram of an example, non-limiting
embodiment of a computing environment in accordance with various
aspects described herein.
[0025] FIG. 5 is a block diagram of an example, non-limiting
embodiment of a mobile network platform in accordance with various
aspects described herein.
[0026] FIG. 6 is a block diagram of an example, non-limiting
embodiment of a communication device in accordance with various
aspects described herein.
DETAILED DESCRIPTION
[0027] The subject disclosure describes, among other things,
illustrative embodiments for providing shopping assistance (e.g.,
virtual shopping assistance). Other embodiments are described in
the subject disclosure.
[0028] As described herein, various embodiments provide mechanisms
for a user to receive proactive assistance (e.g., proactive
shopping assistance). In one example, proactive assistance can be
provided to a user by a virtual assistant while the user is
shopping online. In one specific example, such a virtual assistant
can comprise a computer program with artificial intelligence and/or
machine leaning. In another specific example, such a virtual
assistant can monitor the user's web activity and provide to the
user pertinent information using a parallel speech-based
communication session that complements the online screen session of
the user.
[0029] As described herein, various embodiments provide mechanisms
for projecting a user's needs for products in the future based on
one or more past purchases and/or based on one or more other
factors. In one specific example, advertisements can be sent to the
user accordingly.
[0030] Referring now to FIG. 1, a block diagram is shown
illustrating an example, non-limiting embodiment of a communication
network 100 in accordance with various aspects described herein.
For example, communication network 100 can facilitate in whole or
in part storage of personal inventory data and/or provision of
shopping suggestions as described herein. In particular, a
communications network 125 is presented for providing broadband
access 110 to a plurality of data terminals 114 via access terminal
112, wireless access 120 to a plurality of mobile devices 124 and
vehicle 126 via base station or access point 122, voice access 130
to a plurality of telephony devices 134, via switching device 132
and/or media access 140 to a plurality of audio/video display
devices 144 via media terminal 142. In addition, communication
network 125 is coupled to one or more content sources 175 of audio,
video, graphics, text and/or other media. While broadband access
110, wireless access 120, voice access 130 and media access 140 are
shown separately, one or more of these forms of access can be
combined to provide multiple access services to a single client
device (e.g., mobile devices 124 can receive media content via
media terminal 142, data terminal 114 can be provided voice access
via switching device 132, and so on).
[0031] The communications network 125 includes a plurality of
network elements (NE) 150, 152, 154, 156, etc. for facilitating the
broadband access 110, wireless access 120, voice access 130, media
access 140 and/or the distribution of content from content sources
175. The communications network 125 can include a circuit switched
or packet switched network, a voice over Internet protocol (VoIP)
network, Internet protocol (IP) network, a cable network, a passive
or active optical network, a 4G, 5G, or higher generation wireless
access network, WIMAX network, UltraWideband network, personal area
network or other wireless access network, a broadcast satellite
network and/or other communications network.
[0032] In various embodiments, the access terminal 112 can include
a digital subscriber line access multiplexer (DSLAM), cable modem
termination system (CMTS), optical line terminal (OLT) and/or other
access terminal. The data terminals 114 can include personal
computers, laptop computers, netbook computers, tablets or other
computing devices along with digital subscriber line (DSL) modems,
data over coax service interface specification (DOCSIS) modems or
other cable modems, a wireless modem such as a 4G, 5G, or higher
generation modem, an optical modem and/or other access devices.
[0033] In various embodiments, the base station or access point 122
can include a 4G, 5G, or higher generation base station, an access
point that operates via an 802.11 standard such as 802.11n,
802.11ac or other wireless access terminal. The mobile devices 124
can include mobile phones, e-readers, tablets, phablets, wireless
modems, and/or other mobile computing devices.
[0034] In various embodiments, the switching device 132 can include
a private branch exchange or central office switch, a media
services gateway, VoIP gateway or other gateway device and/or other
switching device. The telephony devices 134 can include traditional
telephones (with or without a terminal adapter), VoIP telephones
and/or other telephony devices.
[0035] In various embodiments, the media terminal 142 can include a
cable head-end or other TV head-end, a satellite receiver, gateway
or other media terminal 142. The display devices 144 can include
televisions with or without a set top box, personal computers
and/or other display devices.
[0036] In various embodiments, the content sources 175 include
broadcast television and radio sources, video on demand platforms
and streaming video and audio services platforms, one or more
content data networks, data servers, web servers and other content
servers, and/or other sources of media.
[0037] In various embodiments, the communications network 125 can
include wired, optical and/or wireless links and the network
elements 150, 152, 154, 156, etc. can include service switching
points, signal transfer points, service control points, network
gateways, media distribution hubs, servers, firewalls, routers,
edge devices, switches and other network nodes for routing and
controlling communications traffic over wired, optical and wireless
links as part of the Internet and other public networks as well as
one or more private networks, for managing subscriber access, for
billing and network management and for supporting other network
functions.
[0038] Referring now to FIG. 2A, this is a block diagram
illustrating an example, non-limiting embodiment of a system 2000
in accordance with various aspects described herein. In this
example, system 2000 includes eCommerce Server 2008 (which is in
operative bi-directional communication with eCommerce Database
2008A). The eCommerce Server 2008 is in operative bi-directional
communication via the Internet 2002 with various other elements
described herein. Further, system 2000 includes Personal Inventory
Server 2010 (which is in operative bi-directional communication
with Personal Inventory Database 2010A). The Personal Inventory
Server 2010 is in operative bi-directional communication via the
Internet 2002 with various other elements described herein. Further
still, system 2000 includes Point-Of-Purchase Hardware 2004 (e.g.,
cash register, credit/debit card reader, electronic wallet reader,
etc.). Point-Of-Purchase Hardware 2004 is in operative
bi-directional communication via the Internet 2002 with various
other elements described herein. In this example, the
Point-Of-Purchase Hardware 2004 is used (in response to a buyer
(not shown) purchasing a first item) to query the buyer as to
whether the buyer wishes to add the first item to the buyer's
personal inventory (stored in the Personal Inventory Database
2010A). This query can be presented to the buyer, for example,
visually via a GUI display screen of the Point-Of-Purchase Hardware
2004, audibly via a speaker of the Point-Of-Purchase Hardware 2004,
or a combination thereof. The buyer can respond to this query, for
example, via a GUI display screen of the Point-Of-Purchase Hardware
2004, audibly via a microphone of the Point-Of-Purchase Hardware
2004, or a combination thereof. In another embodiment, the buyer
can receive the query via tablet, smartphone or the like while at
the point-of-sale and the buyer can response to the query via the
tablet, smartphone or the like. Further still, system 2000 includes
User Computer 2006 (e.g., desktop computer, laptop computer,
tablet, smartphone, etc.). User Computer 2006 is in operative
bi-directional communication via the Internet 2002 with various
other elements described herein. In this example, the User Computer
2006 is used (in response to a buyer (not shown) purchasing a
second item via a website of a merchant) to query the buyer (which
may be the same buyer as mentioned above in connection with the
purchase of the first item or which may be a different buyer) as to
whether the buyer wishes to add the second item to the buyer's
personal inventory (stored in the Personal Inventory Database
2010A). This query can be presented to the buyer, for example,
visually via a GUI display screen of the User Computer 2006,
audibly via a speaker of the User Computer 2006, or a combination
thereof. The buyer can respond to this query, for example, via a
GUI display screen of the User Computer 2006, audibly via a
microphone of the User Computer 2006, or a combination thereof.
Further still, system 2000 includes Appliance(s) 2012A, Vehicle(s)
2012B, Camera(s) 2012C, Television(s) 2012D, Computer(s) 2012E, and
any other similar device(s). These Appliance(s) 2012A, Vehicle(s)
2012B, Camera(s) 2012C, Television(s) 2012D, Computer(s) 2012E, and
any other similar device(s) are in operative bi-directional
communication via the Internet 2002 with various other elements
described herein. In one specific example, some or all of these
Appliance(s) 2012A, Vehicle(s) 2012B, Camera(s) 2012C,
Television(s) 2012D, Computer(s) 2012E, and any other similar
device(s) can be Internet-Of-Things (IOT) devices and can provide
(such as upon being queried) their respective identification
information (e.g., manufacturer, model, serial number,
specifications).
[0039] Referring now to FIG. 2B, this is a block diagram
illustrating an example, non-limiting embodiment of a system 2500
in accordance with various aspects described herein. In this
example, system 2500 includes eCommerce Server 2508 and eCommerce
Database 2508A (which can operate in a manner similar to eCommerce
Server 2008 and eCommerce Database 2008A of FIG. 2A). Further,
system 2500 includes Personal Inventory Server 2510 and Personal
Inventory Database 2510A (which can operate in a manner similar to
Personal Inventory Server 2010 and Personal Inventory Database
2010A of FIG. 2A). Further still, system 2500 includes Appliance(s)
2512A, Vehicle(s) 2512B, Camera(s) 2512C, Television(s) 2512D,
Computer(s) 2512E, and any other similar device(s) (which can
operate in a manner similar to Appliance(s) 2012A, Vehicle(s)
2012B, Camera(s) 2012C, Television(s) 2012D, Computer(s) 2012E, and
any other similar device(s) of FIG. 2A). Further still, system 2500
includes User Computer 2506 (e.g., desktop computer, laptop
computer, tablet, smartphone, etc.). This User Computer 2506 can
operate in a manner similar to user Computer 2006 of FIG. 2A. In
this example, the user (not shown) has utilized User Computer 2506
to navigate to a product sale website (shown as "WEB STORE") and to
browse a product (in this example, a particular "Security Camera
Skin"). Further still, system 2500 includes Virtual Assistant 2550.
Virtual Assistant 2550 is in operative bi-directional communication
via the Internet 2502 with various other elements described herein.
In this example, the Virtual Assistant 2550 outputs a message to
the user (responsive to the user browsing the "Security Camera
Skin" as mentioned above) that the "Security Camera Skin" works
with the security camera of the user's mother. The output from the
Virtual Assistant 2550 can be presented to the user, for example,
visually via a GUI display screen of the Virtual Assistant 2550,
audibly via a speaker of the Virtual Assistant 2550, or a
combination thereof. In this example, the Virtual Assistant 2550 is
shown as a stand-alone device (which interfaces with, for example,
the eCommerce Server 2508 and/or the Personal Inventory Server 2510
to provide the functionality described herein). In various
examples, the Virtual Assistant 2550 can comprise hardware,
software, firmware, or any combination thereof. In another example,
the Virtual Assistant 2550 can be integrated into one or more other
devices. In one specific example, the Virtual Assistant 2550 can be
integrated into the User Computer 2506.
[0040] Referring now to FIG. 2C, this is a block diagram
illustrating an example, non-limiting embodiment of a system 3000
in accordance with various aspects described herein. In this
example, system 3000 includes eCommerce Server 3008 and eCommerce
Database 3008A (which can operate in a manner similar to eCommerce
Server 2008 and eCommerce Database 2008A of FIG. 2A). Further,
system 3000 includes Personal Inventory Server 3010 and Personal
Inventory Database 3010A (which can operate in a manner similar to
Personal Inventory Server 2010 and Personal Inventory Database
2010A of FIG. 2A). Further still, system 3000 includes Appliance(s)
3012A, Vehicle(s) 3012B, Camera(s) 3012C, Television(s) 3012D,
Computer(s) 3012E, and any other similar device(s) (which can
operate in a manner similar to Appliance(s) 2012A, Vehicle(s)
2012B, Camera(s) 2012C, Television(s) 2012D, Computer(s) 2012E, and
any other similar device(s) of FIG. 2A). Further still, system 3000
includes User Computer 3006 (e.g., desktop computer, laptop
computer, tablet, smartphone, etc.). This User Computer 3006 can
operate in a manner similar to User Computer 2006 of FIG. 2A. In
this example, the user (not shown) has utilized User Computer 3006
to navigate to a product sale website (shown as "WEB STORE") and to
browse a product (in this example, a particular "Electric
Toothbrush"). Further still, system 3000 includes Virtual Assistant
3050. This Virtual Assistant 3050 operates in a manner similar to
Virtual Assistant 2550 of FIG. 2B. In this example, the Virtual
Assistant 3050 outputs a message to the user (responsive to the
user browsing the "Electric Toothbrush" as mentioned above) that
the "Electric Toothbrush" was purchased by the user last March for
the user's father. The output from the Virtual Assistant 3050 can
be presented to the user, for example, visually via a GUI display
screen of the Virtual Assistant 3050, audibly via a speaker of the
Virtual Assistant 3050, or a combination thereof. In this example,
the Virtual Assistant 3050 is shown as a stand-alone device (which
interfaces with, for example, the eCommerce Server 3008 and/or the
Personal Inventory Server 3010 to provide the functionality
described herein). In various examples, the Virtual Assistant 3050
can comprise hardware, software, firmware, or any combination
thereof. In another example, the Virtual Assistant 3050 can be
integrated into one or more other devices. In one specific example,
the Virtual Assistant 3050 can be integrated into the User Computer
3006.
[0041] Referring now to FIG. 2D, this is a block diagram
illustrating an example, non-limiting embodiment of a system 3500
in accordance with various aspects described herein. In this
example, system 3500 includes eCommerce Server 3508 and eCommerce
Database 3508A (which can operate in a manner similar to eCommerce
Server 2008 and eCommerce Database 2008A of FIG. 2A). Further,
system 3500 includes Personal Inventory Server 3510 and Personal
Inventory Database 3510A (which can operate in a manner similar to
Personal Inventory Server 2010 and Personal Inventory Database
2010A of FIG. 2A). Further still, system 3500 includes Appliance(s)
3512A, Vehicle(s) 3512B, Camera(s) 3512C, Television(s) 3512D,
Computer(s) 3512E, and any other similar device(s) (which can
operate in a manner similar to Appliance(s) 2012A, Vehicle(s)
2012B, Camera(s) 2012C, Television(s) 2012D, Computer(s) 2012E, and
any other similar device(s) of FIG. 2A). Further still, system 3500
includes User Mobile Device 3506 (e.g., laptop computer, tablet,
smartphone, etc.). This User Mobile Device 3506 is in operative
bi-directional communication via the Internet 3502 with various
other elements described herein. In this example, the User Mobile
Device 3506 has integrated therein a Bar Code Scanner. Further, in
this example, the User Mobile Device 3506 has integrated therein a
Virtual Assistant. In this example, this integrated Virtual
Assistant is in operative bi-directional communication via the
Internet 3502 (through User Mobile Device 3506) with various other
elements described herein. In this example, this integrated Virtual
Assistant can provide the functionality of a virtual assistant as
described herein. In this example shown in FIG. 2D, a user is at a
physical store 3570. The user utilizes User Mobile Device 3506 to
scan a bar code (in this example, a bar code of a refrigerator that
the user is contemplating buying). In response to the scanning of
the bar code, the Virtual Assistant informs the user that the
refrigerator being considered for purchase will fit in the same
space as the current refrigerator of the user. The output from the
Virtual Assistant can be presented to the user, for example,
visually via a GUI display screen of the User Mobile Device 3506,
audibly via a speaker of the User Mobile Device 3506, or a
combination thereof. In this example, the Virtual Assistant is
shown as integrated into the User Mobile Device 3506. In another
example, the Virtual Assistant can be a separate device. The
Virtual Assistant can obtain information from, for example, the
eCommerce Server 3508 and/or the Personal Inventory Server 3510 to
make the fit/no-fit determination.
[0042] Referring now to FIG. 2E, this is a block diagram
illustrating an example, non-limiting embodiment of a system 4000
in accordance with various aspects described herein. In this
example, system 4000 includes eCommerce Server 4008 (which is in
operative bi-directional communication with eCommerce Database
4008A). The eCommerce Server 4008 is in operative bi-directional
communication via the Internet 4002 with various other elements
described herein. Further, system 4000 includes Point-Of-Purchase
Hardware 4004 (e.g., cash register, credit/debit card reader,
electronic wallet reader, etc.). Point-Of-Purchase Hardware 4004 is
in operative bi-directional communication via the Internet 4002
with various other elements described herein. In this example, the
Point-Of-Purchase Hardware 4004 is used (in response to a buyer
purchasing a first item) to query the buyer as to who the item is
for. This query can be presented to the Buyer, for example,
visually via a GUI display screen of the Point-Of-Purchase Hardware
4004, audibly via a speaker of the Point-Of-Purchase Hardware 4004,
or a combination thereof. The Buyer can respond to this query, for
example, visually via a GUI display screen of the Point-Of-Purchase
Hardware 4004, audibly via a microphone of the Point-Of-Purchase
Hardware 4004, or a combination thereof. In another embodiment, the
Buyer can receive the query via tablet, smartphone or the like
while at the point-of-sale and the Buyer can respond to the query
via the tablet, smartphone or the like.
[0043] Referring now to FIG. 2F, this is a block diagram
illustrating an example, non-limiting embodiment of a system 4500
in accordance with various aspects described herein. In this
example, system 4500 includes eCommerce Server 4508 and eCommerce
Database 4508A (which can operate in a manner similar to eCommerce
Server 4008 and eCommerce Database 4008A of FIG. 2E). Further,
system 4500 includes Buyer Computer 4506 (e.g., desktop computer,
laptop computer, tablet, smartphone, etc.). Buyer Computer 4506 is
in operative bi-directional communication via the Internet 4502
with various other elements described herein. In this example, the
Buyer Computer 4506 is used (in response to a Buyer purchasing a
first item) to query the Buyer as to who the item is for. This
query can be presented to the Buyer, for example, visually via a
GUI display screen of the Buyer Computer 4506, audibly via a
speaker of the Buyer Computer 4506, or a combination thereof. The
Buyer can respond to this query, for example, visually via a GUI
display screen of the Buyer Computer 4506, audibly via a microphone
of the Buyer Computer 4506, or a combination thereof.
[0044] Referring now to FIG. 2G, this is a block diagram
illustrating an example, non-limiting embodiment of a system 5000
in accordance with various aspects described herein. In this
example, system 5000 includes eCommerce Server 5008 and eCommerce
Database 5008A (which can operate in a manner similar to eCommerce
Server 4008 and eCommerce Database 4008A of FIG. 2E). Further,
system 5000 includes Buyer Computer 5006 (which can operate in a
manner similar to Buyer Computer 4506 of FIG. 2F). In this example,
Buyer Computer 5006 is used to present to the Buyer a new
recommendation (e.g., a recommendation for a number of
age-appropriate items for Suzie Smith (for whom the Buyer had
previously purchased a baby crib). This recommendation can be
presented to the Buyer, for example, visually via a GUI display
screen of the Buyer Computer 5006, audibly via a speaker of the
Buyer Computer 5006, or a combination thereof. The Buyer can
respond to this recommendation, for example, by making a
purchase.
[0045] Referring now to FIG. 2H, this is a block diagram
illustrating an example, non-limiting embodiment of a system 5500
in accordance with various aspects described herein. In this
example, system 5500 includes eCommerce Server 5508 and eCommerce
Database 5508A (which can operate in a manner similar to eCommerce
Server 4008 and eCommerce Database 4008A of FIG. 2E). Further,
system 5500 includes Point-Of-Purchase Hardware 5504 (which can
operate in a manner similar to Point-Of-Purchase Hardware 4004 of
FIG. 2E). In this example, the Point-Of-Purchase Hardware 5504 is
used (in response to a Buyer purchasing a first item) to query the
Buyer as to what is the item for. This query can be presented to
the Buyer, for example, visually via a GUI display screen of the
Point-Of-Purchase Hardware 5504, audibly via a speaker of the
Point-Of-Purchase Hardware 5504, or a combination thereof. The
Buyer can respond to this query, for example, via a GUI display
screen of the Point-Of-Purchase Hardware 5504, audibly via a
microphone of the Point-Of-Purchase Hardware 5504, or a combination
thereof (see the response "My Deli"). In another embodiment, the
Buyer can receive the query via tablet, smartphone or the like
while at the point-of-sale and the Buyer can respond to the query
via the tablet, smartphone or the like.
[0046] Referring now to FIG. 2I, this is a block diagram
illustrating an example, non-limiting embodiment of a system 6000
in accordance with various aspects described herein. In this
example, system 6000 includes eCommerce Server 6008 and eCommerce
Database 6008A (which can operate in a manner similar to eCommerce
Server 4508 and eCommerce Database 4508A of FIG. 2F). Further,
system 6000 includes Buyer Computer 6006 (which operates in a
manner similar to Buyer Computer 4506 of FIG. 2F). In this example,
the Buyer Computer 6006 is used (in response to a Buyer purchasing
a first item) to query the Buyer as to what is the item for. This
query can be presented to the Buyer, for example, visually via a
GUI display screen of the Buyer Computer 6006, audibly via a
speaker of the Buyer Computer 6006, or a combination thereof. The
Buyer can respond to this query, for example, via a GUI display
screen of the Buyer Computer 6006, audibly via a microphone of the
Buyer Computer 6006, or a combination thereof (see the response
"Home").
[0047] Referring now to FIG. 2J, this is a block diagram
illustrating an example, non-limiting embodiment of a system 6500
in accordance with various aspects described herein. In this
example, system 6500 includes eCommerce Server 6508 and eCommerce
Database 6508A (which can operate in a manner similar to eCommerce
Server 4508 and eCommerce Database 4508A of FIG. 2F). Further,
system 6500 includes Buyer Computer 6506 (which can operate in a
manner similar to Buyer Computer 4506 of FIG. 2F). In this example,
the Buyer Computer 6506 is used (in response to a buyer purchasing
a first item) to provide a suggestion to the buyer for a
replacement item (in this example, a replacement water filter).
This suggestion can be presented to the buyer, for example,
visually via a GUI display screen of the Buyer Computer 6506,
audibly via a speaker of the Buyer Computer 6506, or a combination
thereof. The buyer can respond to this suggestion, for example, by
making a purchase.
[0048] Referring now to FIG. 2K, this is a block diagram
illustrating an example, non-limiting embodiment of a system 7000
in accordance with various aspects described herein. In this
example, system 7000 includes eCommerce Server 7008 and eCommerce
Database 7008A (which can operate in a manner similar to eCommerce
Server 4508 and eCommerce Database 4508A of FIG. 2F). Further,
system 7000 includes Buyer Computer 7006 (which can operate in a
manner similar to Buyer Computer 4506 of FIG. 2F). Further still,
system 7000 includes Personal Inventory Server 7010 and Personal
Inventory Database 7010A (which can operate in a manner similar to
the personal inventory server and personal inventory database of
one or more of FIGS. 2A-2D). In this example, the Buyer Computer
7006 is used (in response to a buyer having purchased a first item
-- as reflected in the Personal Inventory Database 7010A) to
provide a suggestion to the buyer for a replacement item (in this
example, a replacement water filter). This suggestion can be
presented to the buyer, for example, visually via a GUI display
screen of the Buyer Computer 7006, audibly via a speaker of the
Buyer Computer 7006, or a combination thereof. The buyer can
respond to this suggestion, for example, by making a purchase.
[0049] Reference will now be made to various examples associated
with use of personal inventories according to aspects of one or
more embodiments. In one example, each user can have associated
therewith a respective personal inventory (e.g., Personal Inventory
"A" associated with User "A"; Personal Inventory "B" associated
with User "B"; Personal Inventory "C" associated with User "C").
Each personal inventory can be stored in one or more databases
(see, e.g., Personal Inventory Database 2010A of FIG. 2A). When a
new item is added to a personal inventory (e.g., a new item is
added to Personal Inventory "A" associated with User "A"), the item
can be recorded in the respective personal inventory database along
with identifying information (such as serial number, model number
and date of purchase). The addition of the item into the respective
personal inventory database via such recording can be accomplished
in a number of ways. In one example, the item can be added to the
user's personal inventory responsive to the user entering the data
manually (such as via a graphical user interface (running on a
computer of the user) in operative communication with a personal
inventory server (see, e.g., Personal Inventory Server 2010 of FIG.
2A). In another example, the item can be added to the respective
personal inventory responsive to a bar code scanner being used by
the user (such as, for example, via a smartphone) to scan the item
(based upon the bar code scan, a query can be made of a product
database (see, e.g., eCommerce Server 2008 and eCommerce Database
2008A of FIG. 2A) to retrieve item information, such as serial
number and model number; the retrieved item information can then be
added to the user's personal inventory. In another example, the
item can be added to the personal inventory responsive to a
personal inventory server running an application that queries all
items of the user (see, e.g., elements 2012A, 2012B, 2012C, 2012D
and 2012E of FIG. 2A) that are connected via a network of the user
(such as a home network of the user and/or other network) to
retrieve identifying information (that is, identifying information
associated with the connected items) and store the results in the
personal inventory database. Alternatively, or in addition, when a
purchase is made, either online (see, e.g., User Computer 2006 of
FIG. 2A) or at a physical store point-of-purchase (see, e.g.,
Point-of-Purchase Hardware 2004 of FIG. 2A), the user can be asked
(e.g., at checkout) if the user wants to add the purchased item to
their personal inventory. If so, the point-of-purchase (see, e.g.,
Point-of-Purchase Hardware 2004 of FIG. 2A) or the eCommerce server
(see, e.g., eCommerce Server 2008 of FIG. 2A) can send inventory
data (and/or product specification data) for the item to the user's
personal inventory (see, e.g., Personal Inventory Database 2010A of
FIG. 2A). In another example, an item can be deleted from the
personal inventory of a user (such as by the user via a GUI). Such
an item can be deleted from the personal inventory of the user
when, for example, the user no longer has the item (e.g., the item
is thrown away, given away, donated, lost or otherwise disposed
of).
[0050] Still referring to various examples associated with use of
personal inventories according to aspects of one or more
embodiments, the personal inventory database (see, e.g., Personal
Inventory Database 2010A of FIG. 2A) can be accessible via a
network (such as through Personal Inventory Server 2010 of FIG.
2A). In one specific example, the personal inventory can be stored
in the database with identifying entries such as shown in Table 1
below. As seen in Table 1, the fields of this example can include
Serial Number, Model Number, Color, Purchase Date, Bought By (used
to identify the person who made the purchase of the item), Owner
(used to identify a person who is the primary owner (and/or user)
of the item), and Location (used to indicate where the item is
typically located). Further, non-electronic items and items that do
not have network connectivity can also be stored in the personal
inventory (entry of information associated with such items can be,
for example, via manual entry and/or bar code scanning).
TABLE-US-00001 TABLE 1 Purchase ITEM Serial No. Model No. Color
Date Bought By Owner Location Automobile xyz 123 grey 21 Jan. 2019
JIM JIM HOME (Manufacturer - ABC) Refrigerator wju 345 white 23
Feb. 2016 MEG MEG LAKE (Manufacturer - HOUSE DEF) Camera gse 478
white 4 Mar. 2017 MEG MOM MOM'S (Manufacturer - HOUSE GHI)
Smartphone dre 490 white 12 Mar. 2018 JIM MEG HOME (Manufacturer -
JKL) TV wtu 670 black 12 Dec. 2018 MEG MEG HOME (Manufacturer -
MNO) Sofa ret 456 6783 24 Dec. 2017 MEG MEG HOME Filing Cabinet dfg
765 tan 23 Sep. 2010 JIM JIM LAKE HOUSE Electric ghj 345 white 17
Mar. 2015 JIM DAD DAD'S Toothbrush HOUSE
[0051] Still referring to various examples associated with use of
personal inventories according to aspects of one or more
embodiments, with the personal inventory in place for a given user
(such as described above), a virtual assistant (see, e.g., Virtual
Assistant 2550 of FIG. 2B, Virtual Assistant 3050 of FIG. 2C, or
the Virtual Assistant integrated into User Mobile Device 3506 of
FIG. 2D) can now conduct communications (e.g., communications in
parallel to an online shopping experience). In one example, this is
accomplished by the virtual assistant monitoring page views which
are made by the user (see, e.g., User Computer 2506 of FIG. 2B,
User Computer 3006 of FIG. 2C, User Mobile Device 3506 of FIG. 2D)
and comparing what is being viewed with information in the user's
personal inventory (and/or with information in a product
information server (see, e.g., the eCommerce Servers and eCommerce
Databases of FIGS. 2A-2D).
[0052] Still referring to various examples associated with use of
personal inventories according to aspects of one or more
embodiments, a discussion will now be made of virtual assistant
suggestions regarding product compatibility. In this example, a
given user visits an online website and navigates to a product
page. The product presented on the product page is identified by
the model number/serial number and/or other identifying
information, which is sent to the virtual assistant. The virtual
assistant (see, e.g., Virtual Assistant 2550 of FIG. 2B) then sends
the product information to the personal inventory server (see,
e.g., the Personal Inventory Server 2510 and Personal Inventory
Database 2510A of FIG. 2B), which may also communicate with a
product information server (see, e.g., the eCommerce Server 2508
and eCommerce Database 2508A of FIG. 2B) to determine product
compatibility. The personal inventory server compares data from the
product page, the personal inventory database, and the product
information server and returns a response to the virtual assistant
to announce (e.g., via visual display and/or via audio output)
compatibility information to the user.
[0053] Still referring to various examples associated with use of
personal inventories according to aspects of one or more
embodiments, a discussion will now be made of virtual assistant
suggestions regarding a prior purchase. In this example, a given
user visits an online website and navigates to a product page. The
product presented on the product page is identified by the model
number/serial number and/or other identifying information, which is
sent to the virtual assistant. The virtual assistant (see, e.g.,
Virtual Assistant 3050 of FIG. 2C) then sends the product
information to the personal inventory server (see, e.g., the
Personal Inventory Server 3010 and Personal Inventory Database
3010A of FIG. 2C) to identify any related products. The personal
inventory server compares data from the product page and the
personal inventory database and returns a response to the virtual
assistant to announce (e.g., via visual display and/or via audio
output) related information to the user.
[0054] Still referring to various examples associated with use of
personal inventories according to aspects of one or more
embodiments, a discussion will now be made of virtual assistant
suggestions in the context of an in-store shopping experience. In
this example, a given user can use a bar code scanner app on the
user's mobile device (see, e.g., User Mobile Device 3506 of FIG.
2D) to send the product information to the personal inventory
server (see, e.g., the Personal Inventory Server 3510 and Personal
Inventory Database 3510A of FIG. 2D). In this example, the user's
mobile device can also operate as the virtual assistant. In this
example, the personal inventory server can retrieve and process
data from the product information server (see, e.g., the eCommerce
Server 3508 and eCommerce Database 3508A of FIG. 2D) regarding the
dimensions of the product that was scanned (of course, the
dimensions are a specific example, and any desired product data
(specification(s), review(s), etc.) can be retrieved and
processed). The virtual assistant can then (after receiving the
return information from the personal inventory server) provide
(e.g., via visual display and/or via audio output) information
and/or suggestions to the user.
[0055] Reference will now be made to various examples associated
with use of time-projected advertising according to aspects of one
or more embodiments. In this regard, it is noted that a purchase of
a product at a point in time can be informative as to what
product(s) might be needed later in time. This can require tracking
and forecasting the age of the product and/or the age of the person
for whom the product was purchased. Such tracking and forecasting
can be accomplished using various embodiments described herein. In
one example, when an advertisement and/or purchase recommendation
is going to be made, an eCommerce or advertising server (see, e.g.,
eCommerce Servers and eCommerce Databases of FIGS. 2E-2K) can
search past purchase history records (and/or a personal inventory
database such as described herein) to make a time-appropriate
choice for presentation of the advertisement and/or recommendation
(e.g., make the specific advertisement and/or recommendation
appropriate in view of the current age (since purchase) of one or
more previously purchased products and/or appropriate in view of
the current age of the purchaser and/or recipient (if the prior
purchased item was a gift or the like).
[0056] Still referring to various examples associated with
time-projected advertising according to aspects of one or more
embodiments, in one example a user may make a purchase online (see,
e.g., Buyer Computer 4506 of FIG. 2F) or at a physical
point-of-purchase (see, e.g., Point-of-Purchase Hardware 4004 of
FIG. 2E). When the purchase is made, the user can be prompted
(e.g., visually via a display, via audio such as from a speaker, or
a combination thereof) to indicate who the purchase is for (the
user can input such information, for example, via a GUI and/or via
spoken input). If the purchase is for someone other than the
purchaser, the purchaser can provide another name. Optionally, the
product user's age or age range at the time of purchase can be
provided (e.g., via a GUI and/or via spoken input) by the
purchaser. If an age or age range is not provided, an eCommerce
server (see, e.g., eCommerce Servers and eCommerce Databases of
FIGS. 2E-2K) could add an estimated age (or estimated age range)
for the product user based on the average age (or average age
range) of previous users of the product or a typical age (or
typical age range) of users of the type of product. For example, if
Buyer A buys a baby crib to be used by Susie Smith, Susie Smith may
be estimated to be 0-6 months old. The product age at purchase is
also recorded. If the product is new, the product can be recorded
as such. Alternatively (or additionally), the date that the product
was produced can be recorded. This may be particularly helpful if,
for instance, a product was sold as new but was produced some
significant amount of time prior. Likewise, a used product may have
an estimated age that is recorded.
[0057] In one specific example, the purchase history of the buyer
can be stored in a database with identifying entries such as shown
in Table 2 below. As seen in Table 2, the fields of this example
can include the Product User, the Product ID, the Purchase Date of
the product, the Product User Age at purchase, and the Product Age
at Purchase.
TABLE-US-00002 TABLE 2 Buyer A Purchase History Product Product
Purchase Product User Age Product Age User ID Date at Purchase at
Purchase Susie xyz123 6 JAN. 2019 0 yr 0 mo 0 yr 0 mo Smith
[0058] Still referring to the baby crib example above, Buyer "A"
may want to make a subsequent purchase for the same product user
(in this case, Suzie Smith) at a date later in time, say one year
later. An eCommerce server (see, e.g., eCommerce Servers and
eCommerce Databases of FIGS. 2E-2K) can calculate an estimated
current age for past product users for whom Buyer "A" has
previously shopped. In this example, (see Table 3, below--which is
an extension of Table 2) Susie Smith is now estimated to be 1 year
old and recommendations and/or advertisements can be sent to Buyer
A that are appropriate for that 1-year age.
TABLE-US-00003 TABLE 3 Buyer A Purchase History Product Product
Estimated Estimated Product Product Purchase User Age Age at
Product Product User ID Date at Purchase Purchase User Age Age
Susie xyz123 6 Jan. 2019 0 yr 0 mo 0 yr 0 mo 1 yr 0 mo 1 yr 0 mo
Smith
[0059] In another example, and as another means by which to
estimate age changes of a product user, the product user can have a
virtual assistant device (or other app) that monitors the product
user's voice changes, vocabulary changes, and/or context changes to
detect maturity changes over time and update estimated ages
accordingly.
[0060] Still referring to various examples associated with
time-projected advertising according to aspects of one or more
embodiments, in another example a buyer may purchase an item for
themselves as the product user, but the buyer can provide a product
tag to indicate how and/or where the product will be used (in this
case, the age progression of the product is of more interest than
the age progression of the product user). Table 4 below shows an
example of such a purchase history that can be stored. As seen in
Table 4, the fields of this example can include the Product Tag,
the Product ID, the Purchase Date, the Product User Age at Purchase
(the data being "N/A" in this example), and the Product Age at
Purchase.
TABLE-US-00004 TABLE 4 Buyer A Purchase History Product Product
Purchase Product User Age Product Age Tag ID Date at Purchase at
Purchase Home 789abc 6 JAN. 2019 N/A 0 yr 0 mo My Deli 567ghi 12
JAN. 2019 N/A 0 yr 0 mo
[0061] The data in Table 4 can be generated, for example,
responsive to a retail Point-of-Purchase transaction (see, e.g.,
Point-of-Purchase Hardware 5504 of FIG. 2H) via which an in-store
retail purchase of a commercial refrigerator for use in a deli is
being made and/or responsive to an online purchase (see, e.g.,
Buyer Computer 6006 of FIG. 21) via which a purchase (at a website)
of a water filter for home use is being made.
[0062] Still referring to the water filter example above, the
eCommerce server (see, e.g., eCommerce Server 6508 and eCommerce
Database 6508A of FIG. 2J) may estimate that the water filter is
now 2 months old and is due for a replacement. The eCommerce server
can recommend a product and/or provide an advertisement to Buyer
"A". In one example, the providing of the recommendation and/or the
advertisement can be accomplished when Buyer "A" is actively
shopping (e.g., actively browsing and/or purchasing online). In
another example, the providing of the recommendation and/or the
advertisement can be accomplished via a process wherein the
eCommerce server periodically (or continually) monitors estimated
product ages that match (or exceed) recommended or typical product
replacement times and proactively sends an advertisement and/or a
recommendation accordingly. In another example, the eCommerce
server can scan purchase histories from other past buyers and/or
otherwise identify trends. For instance, the eCommerce server can
identify that buyers who buy SAT prep books typically buy GRE prep
books 4 years later. Table 5 below (which is an extension of Table
4) shows another example of such a purchase history that can be
stored. As seen in Table 5, the fields of this example can include
the Product Tag, the Product ID, the Purchase Date, the Product
User Age at Purchase (the data being "N/A" in this example), and
the Product Age at Purchase. In addition, this Table 5 now includes
Estimated Product User Age (the data being "N/A" in this example,
and Estimated Product Age.
TABLE-US-00005 TABLE 5 Buyer A Purchase History Product Product
Estimated Estimated Product Product Purchase User Age Age at
Product Product Tag ID Date at Purchase Purchase User Age Age Home
789abc 6 Jan. 2019 N/A 0 yr 0 mo N/A 0 yr 2 mo
[0063] Still referring to various examples associated with
time-projected advertising according to aspects of one or more
embodiments, in another example the eCommerce server (see, e.g.,
eCommerce Server 7008 and eCommerce Database 7008A of FIG. 2K) can
more intelligently determine if and how to send an advertisement
and/or recommendation to the buyer (that is, the buyer who had
previously purchased a particular item). In one example, this is
accomplished by ensuring, for instance, that the buyer still has
the previously-purchased item in their personal inventory (see,
e.g., Personal Inventory Server 7010 and Personal Inventory
Database 7010A of FIG. 2K). In one example, the eCommerce server
(and/or personal inventory server) can periodically (or
continually) make a determination to send an advertisement and/or
recommendation to the buyer. This personal inventory of items can
be created, updated and utilized as described in detail herein. In
one specific example, prior to sending a recommendation and/or
advertisement to the buyer (of the previously-purchased item), the
eCommerce server can query the buyer's personal inventory database
(e.g., via the personal inventory server) to confirm, for instance,
that the buyer still owns the water filter--if not, the
advertisement and/or recommendation may not be sent.
[0064] In another example, the eCommerce server (and/or the
personal inventory server) can periodically (or continually)
synchronize past purchases to determine which ones are still in use
by the user and then use this information to make predictions about
how long product lifespans are.
[0065] Referring now to FIG. 2L, various steps of a method 8000
according to an embodiment are shown. As seen in this FIG. 2L, step
8002 comprises storing, in a personal inventory database, first
identification information associated with a first item purchased
by a first user at a first website of a first merchant the first
identification information being obtained electronically from one
or more first servers that provide the first website. Next, step
8004 comprises storing, in the personal inventory database, second
identification information associated with a second item purchased
by the first user at a second website of a second merchant, the
second merchant being a different merchant than the first merchant,
and the second website being a different website than the first
website, the second identification information being obtained
electronically from one or more second servers that provide the
second website, and each of the one or more second servers being a
different server than each of the one or more first servers. Next,
step 8006 comprises receiving first web browsing data based upon
monitoring first web browsing of the first user, the monitoring of
the first web browsing being performed by another device. Next,
step 8008 comprises determining, based upon the first web browsing
data and based upon the first identification information, a first
suggested item for purchase by the first user. Next, step 8010
comprises transmitting to the another device that performs the
monitoring an identification of the first suggested item to
facilitate presentation of the identification of the first
suggested item to the first user.
[0066] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2L, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0067] In various examples, the monitoring the first web browsing
can comprise monitoring page views by the first user and the
determining the first suggested item for purchase by the first user
can be based upon a relationship (e.g., a relationship among a
browsed item displayed on one or more pages that are viewed by the
first user during the first web browsing, the first item as
identified by the first identification information, and the first
suggested item for purchase). In various specific (non-limiting)
examples, a relationship can comprise: an associated replacement
part (e.g., a water filter for refrigerator); a consumable entity
(e.g., a coffee pod); an enhancement or augmentation device (e.g.,
an improved game or game controller); a complete replacement for
the original entity (e.g., car tire); or any combination
thereof.
[0068] In various examples, a relationship can comprise a
compatibility (e.g., among the first item, the browsed item, and
the first suggested item). In various specific (non-limiting)
examples, a compatibility can be based upon one or more of the
following factors: similar size (e.g., XL shirt); same voltage
(e.g., 12 volt DC sound system for use in your recreational
vehicle); same or matching color; same or matching style (e.g., art
deco, traditional); capacity (e.g., this carafe holds the same
amount of liquid as that coffeemaker); function (e.g., this voltage
tester matches the batteries you often purchase); or any
combination thereof.
[0069] In other examples, a machine learning algorithm can be used
for determining a relationship and/or a compatibility.
[0070] Referring now to FIG. 2M, various steps of a method 8100
according to an embodiment are shown. As seen in this FIG. 2M, step
8102 comprises storing, in a personal inventory database, first
information associated with a first item that is owned by a buyer.
Next, step 8104 comprises receiving web browsing data, the web
browsing data being associated with a potential buyer, the
potential buyer and the owner being different people. Next, step
8106 comprises determining, based upon the web browsing data that
is received, whether the potential buyer is currently browsing at a
shopping website, resulting in a determination. Next, step 8108
comprises responsive to the determination being that the potential
buyer is currently browsing at the shopping website, determining,
based upon the first information, first compatibility information
associated with the first item, the first compatibility information
identifying a second item that is compatible for use with the first
item. Next, step 8110 comprises facilitating a presentation to the
potential buyer of an identification of the second item to purchase
for the owner, the presentation to the potential buyer being
performed without presenting to the potential buyer an
identification of the first item.
[0071] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2M, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0072] Referring now to FIG. 2N, various steps of a method 8200
according to an embodiment are shown. As seen in this FIG. 2N, step
8202 comprises storing by a processing system including a
processor, in a personal inventory database, information associated
with an item that is owned by a user, the information comprising an
identification of the item. Next, step 8204 comprises receiving web
browsing data based upon monitoring, by another processing system,
web browsing of the owner. Next, step 8206 comprises determining,
based upon the web browsing data that is received, whether the
owner is currently viewing a webpage at a shopping website,
resulting in a determination. Next, step 8208 comprises responsive
to the determination being that the owner is currently viewing the
webpage at the shopping website, querying, by the processing
system, a server that has access to product specifications by
sending to the server a query, the query including the
identification of the item that is stored in the personal inventory
database and the query requesting one or more specification details
of the item. Next, step 8210 comprises receiving by the processing
system, from the server in response to the querying, a message
indicating the one or more specification details. Next, step 8212
comprises determining, by the processing system, a compatible item,
the compatible item being determined based on the one or more
specification details indicated by the message. Next, step 8214
comprises facilitating, by the processing system, a presentation by
the another processing system to the owner, the presentation being
while the owner is currently viewing the webpage at the shopping
website, and the presentation comprising another identification of
the compatible item to purchase by the owner.
[0073] In various examples, determining whether someone is
currently browsing (or shopping) at a shopping (or eCommerce)
website can be based upon a uniform resource locator (URL) of the
shopping (or eCommerce) website. In other examples, determining
whether someone is viewing a webpage at a shopping (or eCommerce)
website can be based upon the URL of the webpage. In other
examples, the term currently browsing (or shopping or viewing or
the like) can refer to actions that are happening in real-time or
almost real-time. In one specific example, currently performing an
action can be determined if the action was performed within a past
time threshold (e.g., with in the past 10 seconds, within the past
30 seconds, within the past minute, within the past 10
minutes).
[0074] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2N, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0075] Referring now to FIG. 2O, various steps of a method 8300
according to an embodiment are shown. As seen in this FIG. 2O, step
8302 comprises storing, in a database, information associated with
a first item purchased by a user, the information comprising an
identification of the first item and a time of purchase of the
first item. Next, step 8304 comprises receiving web browsing data
based upon monitoring, by another device, web browsing of the user.
Next, step 8306 comprises determining, based upon the web browsing
data that is received, whether the user is currently browsing at a
shopping website, resulting in a determination. Next, step 8308
comprises responsive to the determination being that the user is
currently browsing at the shopping website, querying the database
to determine an elapsed time since the time of purchase of the
first item. Next, step 8310 comprises responsive to the elapsed
time meeting a threshold, generating a message to send to the
another device monitoring the web browsing, the message informing
the user of a suggested second item for the user to purchase, the
suggested second item being a replacement for the first item. Next,
step 8312 comprises sending the message to the another device for
presentation to the user.
[0076] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2O, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0077] Referring now to FIG. 2P, various steps of a method 8400
according to an embodiment are shown. As seen in this FIG. 2P, step
8402 comprises storing, in a database, information associated with
a first item purchased by a buyer for a product user, the product
user being a different person than the buyer, the information
comprising a first identification of the first item, a time of
purchase of the first item, a second identification of the product
user, and an age of the product user at the time of purchase of the
first item. Next, step 8404 comprises receiving web browsing data
from a device being used by the buyer, the web browsing data being
based upon monitoring, by the device, web browsing of the buyer.
Next, step 8406 comprises determining, based upon the web browsing
data that is received, whether the buyer is currently browsing at a
shopping website, resulting in a determination. Next, step 8408
comprises responsive to the determination being that the buyer is
currently browsing at the shopping website, querying the database
to determine a current age of the product user. Next, step 8410
comprises responsive to the current age of the product user meeting
a threshold, determining a message to send to the device being used
by the buyer. Next, step 8412 comprises sending the message to the
device being used by the buyer, the message facilitating a
presentation by the device being used by the buyer to inform the
buyer of a suggested second item for the buyer to purchase for the
product user, the suggested second item being age-appropriate for
the product user at the current age of the product user.
[0078] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2P, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0079] Referring now to FIG. 2Q, various steps of a method 8500
according to an embodiment are shown. As seen in this FIG. 2Q, step
8502 comprises storing in a database, by a processing system
including a processor, information associated with a first item
purchased by a buyer for a product user, the information comprising
a first identification of the first item, a time of purchase of the
first item, a second identification of the product user, who is a
different person than the buyer, and an estimated age range of the
product user at the time of purchase of the first item. Next, step
8504 comprises receiving, by the processing system, web browsing
data from a device being used by the buyer, the web browsing data
being based upon monitoring, by the device being used by the buyer,
web browsing activity of the buyer. Next, step 8506 comprises
determining, based upon the web browsing data that is received,
whether the buyer is currently viewing a webpage of a shopping
website, resulting in a determination. Next, step 8508 comprises
responsive to the determination being that the buyer is currently
viewing the webpage of the shopping website, calculating, by the
processing system, a current age range of the product user, the
current age range being calculated via a comparison of a current
date with the estimated age range of the product user that is
stored in the database. Next, step 8510 comprises responsive to the
current age range of the product user meeting a threshold,
determining by the processing system a message to send to the
device being used by the buyer. Next, step 8512 comprises sending
by the processing system the message to the device being used by
the buyer, the message informing the buyer of a suggested second
item for the buyer to purchase for the product user, the suggested
second item being age-appropriate for the product user at the
current age range of the product user.
[0080] While for purposes of simplicity of explanation, the
respective processes are shown and described as a series of blocks
in FIG. 2Q, it is to be understood and appreciated that the claimed
subject matter is not limited by the order of the blocks, as some
blocks may occur in different orders and/or concurrently with other
blocks from what is depicted and described herein. Moreover, not
all illustrated blocks may be required to implement the methods
described herein.
[0081] In various embodiments, a personal inventory of a given
person can have public and/or private aspects (e.g., one or more
parts of the personal inventory can be kept hidden from other
people, while one or more other parts of the personal inventory can
be available for viewing by the other people.
[0082] In various embodiments, public and/or private aspects of a
personal inventory of a given person can be subject to opt-in
and/or opt-out.
[0083] In various embodiments, one or more suggestions and/or
recommendations related to a purchase for a given user can be made
to one or more other people without revealing that given user's
full personal inventory.
[0084] In various embodiments, one or more suggestions and/or
recommendations related to what not to purchase for a given user
can be made to one or more other people without revealing that
given user's full personal inventory.
[0085] In one specific example, a given user's personal inventory
can be hidden from view by other users, wherein compatibility
information based on the personal inventory of the given user can
be shared with the other users.
[0086] In various embodiments, a given user's residence can be part
of that user's personal inventory (e.g., number and/or size of
rooms in a home/apartment, dimensions, what appliances the user
has).
[0087] In various embodiments, a suggestion and/or a recommendation
can be made based on a size of an existing appliance and a size of
a potential replacement appliance.
[0088] In various embodiments, each individual purchase can be
included or not included in a personal inventory (e.g., opt-in or
opt-out) on a purchase-by-purchase basis.
[0089] In various embodiments, a virtual assistant can give
knowledge on the go (e.g., as a user browses a web page).
[0090] In various embodiments, compatibility can be based on user
feedback (from one or more users). Such user feedback can include
reviews and/or explicit compatibility information.
[0091] In various embodiments, purchases can be of services
(instead of or in addition to products).
[0092] In various embodiments, suggestions, recommendations and/or
advertisements can be directed to services (instead of or in
addition to products).
[0093] In various embodiments, compatibility (between products) can
be learned. In one specific example, compatibility can be learned
by machine learning (ML), such as based on other user purchases
and/or based on specification data. In another specific example,
compatibility can be learned by artificial intelligence (AI), such
as based on other user purchases and/or based on specification
data.
[0094] In various embodiments, compatibility can be determined from
manufacturer information (e.g., specific compatibility information
and/or specification data). In one specific example, the
manufacturer information can come from a manufacturer website.
[0095] In various embodiments, one or more Internet-Of-Things (IOT)
devices can be used to create a personal inventory (e.g., be
included in the personal inventory).
[0096] In various embodiments, a personal inventory system can keep
out one or more e-commerce systems.
[0097] In various embodiments, a personal inventory for a given
user can be across retailers (e.g., across e-retailers).
[0098] In various embodiments, one person can select a particular
personal inventory (e.g., a particular personal inventory of
another particular person) from among a plurality of personal
inventories of a plurality of people to use for generating one or
more recommendations or the like.
[0099] Referring now to FIG. 3, a block diagram 300 is shown
illustrating an example, non-limiting embodiment of a virtualized
communication network in accordance with various aspects described
herein. In particular a virtualized communication network is
presented that can be used to implement some or all of the
subsystems and functions of communication network 100 presented in
FIG. 1, some or all of the subsystems and functions of the systems
presented in FIGS. 2A-2K, and some or all of the methods presented
in FIGS. 2L-2Q. For example, virtualized communication network 300
can facilitate in whole or in part storage of personal inventory
data and/or provision of shopping suggestions as described
herein.
[0100] In particular, a cloud networking architecture is shown that
leverages cloud technologies and supports rapid innovation and
scalability via a transport layer 350, a virtualized network
function cloud 325 and/or one or more cloud computing environments
375. In various embodiments, this cloud networking architecture is
an open architecture that leverages application programming
interfaces (APIs); reduces complexity from services and operations;
supports more nimble business models; and rapidly and seamlessly
scales to meet evolving customer requirements including traffic
growth, diversity of traffic types, and diversity of performance
and reliability expectations.
[0101] In contrast to traditional network elements--which are
typically integrated to perform a single function, the virtualized
communication network employs virtual network elements (VNEs) 330,
332, 334, etc. that perform some or all of the functions of network
elements 150, 152, 154, 156, etc. For example, the network
architecture can provide a substrate of networking capability,
often called Network Function Virtualization Infrastructure (NFVI)
or simply infrastructure that is capable of being directed with
software and Software Defined Networking (SDN) protocols to perform
a broad variety of network functions and services. This
infrastructure can include several types of substrates. The most
typical type of substrate being servers that support Network
Function Virtualization (NFV), followed by packet forwarding
capabilities based on generic computing resources, with specialized
network technologies brought to bear when general purpose
processors or general purpose integrated circuit devices offered by
merchants (referred to herein as merchant silicon) are not
appropriate. In this case, communication services can be
implemented as cloud-centric workloads.
[0102] As an example, a traditional network element 150 (shown in
FIG. 1), such as an edge router can be implemented via a VNE 330
composed of NFV software modules, merchant silicon, and associated
controllers. The software can be written so that increasing
workload consumes incremental resources from a common resource
pool, and moreover so that it's elastic: so the resources are only
consumed when needed. In a similar fashion, other network elements
such as other routers, switches, edge caches, and middle-boxes are
instantiated from the common resource pool. Such sharing of
infrastructure across a broad set of uses makes planning and
growing infrastructure easier to manage.
[0103] In an embodiment, the transport layer 350 includes fiber,
cable, wired and/or wireless transport elements, network elements
and interfaces to provide broadband access 110, wireless access
120, voice access 130, media access 140 and/or access to content
sources 175 for distribution of content to any or all of the access
technologies. In particular, in some cases a network element needs
to be positioned at a specific place, and this allows for less
sharing of common infrastructure. Other times, the network elements
have specific physical layer adapters that cannot be abstracted or
virtualized, and might require special DSP code and analog
front-ends (AFEs) that do not lend themselves to implementation as
VNEs 330, 332 or 334. These network elements can be included in
transport layer 350.
[0104] The virtualized network function cloud 325 interfaces with
the transport layer 350 to provide the VNEs 330, 332, 334, etc. to
provide specific NFVs. In particular, the virtualized network
function cloud 325 leverages cloud operations, applications, and
architectures to support networking workloads. The virtualized
network elements 330, 332 and 334 can employ network function
software that provides either a one-for-one mapping of traditional
network element function or alternately some combination of network
functions designed for cloud computing. For example, VNEs 330, 332
and 334 can include route reflectors, domain name system (DNS)
servers, and dynamic host configuration protocol (DHCP) servers,
system architecture evolution (SAE) and/or mobility management
entity (MME) gateways, broadband network gateways, IP edge routers
for IP-VPN, Ethernet and other services, load balancers,
distributers and other network elements. Because these elements
don't typically need to forward large amounts of traffic, their
workload can be distributed across a number of servers--each of
which adds a portion of the capability, and overall which creates
an elastic function with higher availability than its former
monolithic version. These virtual network elements 330, 332, 334,
etc. can be instantiated and managed using an orchestration
approach similar to those used in cloud compute services.
[0105] The cloud computing environments 375 can interface with the
virtualized network function cloud 325 via APIs that expose
functional capabilities of the VNEs 330, 332, 334, etc. to provide
the flexible and expanded capabilities to the virtualized network
function cloud 325. In particular, network workloads may have
applications distributed across the virtualized network function
cloud 325 and cloud computing environment 375 and in the commercial
cloud, or might simply orchestrate workloads supported entirely in
NFV infrastructure from these third party locations.
[0106] Turning now to FIG. 4, there is illustrated a block diagram
of a computing environment in accordance with various aspects
described herein. In order to provide additional context for
various embodiments of the embodiments described herein, FIG. 4 and
the following discussion are intended to provide a brief, general
description of a suitable computing environment 400 in which the
various embodiments of the subject disclosure can be implemented.
In particular, computing environment 400 can be used in the
implementation of network elements 150, 152, 154, 156, access
terminal 112, base station or access point 122, switching device
132, media terminal 142, and/or VNEs 330, 332, 334, etc. Each of
these devices can be implemented via computer-executable
instructions that can run on one or more computers, and/or in
combination with other program modules and/or as a combination of
hardware and software. For example, computing environment 400 can
facilitate in whole or in part storage of personal inventory data
and/or provision of shopping suggestions as described herein.
[0107] Generally, program modules comprise routines, programs,
components, data structures, etc., that perform particular tasks or
implement particular abstract data types. Moreover, those skilled
in the art will appreciate that the methods can be practiced with
other computer system configurations, comprising single-processor
or multiprocessor computer systems, minicomputers, mainframe
computers, as well as personal computers, hand-held computing
devices, microprocessor-based or programmable consumer electronics,
and the like, each of which can be operatively coupled to one or
more associated devices.
[0108] As used herein, a processing circuit includes one or more
processors as well as other application specific circuits such as
an application specific integrated circuit, digital logic circuit,
state machine, programmable gate array or other circuit that
processes input signals or data and that produces output signals or
data in response thereto. It should be noted that while any
functions and features described herein in association with the
operation of a processor could likewise be performed by a
processing circuit.
[0109] The illustrated embodiments of the embodiments herein can be
also practiced in distributed computing environments where certain
tasks are performed by remote processing devices that are linked
through a communications network. In a distributed computing
environment, program modules can be located in both local and
remote memory storage devices.
[0110] Computing devices typically comprise a variety of media,
which can comprise computer-readable storage media and/or
communications media, which two terms are used herein differently
from one another as follows. Computer-readable storage media can be
any available storage media that can be accessed by the computer
and comprises both volatile and nonvolatile media, removable and
non-removable media. By way of example, and not limitation,
computer-readable storage media can be implemented in connection
with any method or technology for storage of information such as
computer-readable instructions, program modules, structured data or
unstructured data.
[0111] Computer-readable storage media can comprise, but are not
limited to, random access memory (RAM), read only memory (ROM),
electrically erasable programmable read only memory (EEPROM), flash
memory or other memory technology, compact disk read only memory
(CD-ROM), digital versatile disk (DVD) or other optical disk
storage, magnetic cassettes, magnetic tape, magnetic disk storage
or other magnetic storage devices or other tangible and/or
non-transitory media which can be used to store desired
information. In this regard, the terms "tangible" or
"non-transitory" herein as applied to storage, memory or
computer-readable media, are to be understood to exclude only
propagating transitory signals per se as modifiers and do not
relinquish rights to all standard storage, memory or
computer-readable media that are not only propagating transitory
signals per se.
[0112] Computer-readable storage media can be accessed by one or
more local or remote computing devices, e.g., via access requests,
queries or other data retrieval protocols, for a variety of
operations with respect to the information stored by the
medium.
[0113] Communications media typically embody computer-readable
instructions, data structures, program modules or other structured
or unstructured data in a data signal such as a modulated data
signal, e.g., a carrier wave or other transport mechanism, and
comprises any information delivery or transport media. The term
"modulated data signal" or signals refers to a signal that has one
or more of its characteristics set or changed in such a manner as
to encode information in one or more signals. By way of example,
and not limitation, communication media comprise wired media, such
as a wired network or direct-wired connection, and wireless media
such as acoustic, RF, infrared and other wireless media.
[0114] With reference again to FIG. 4, the example environment can
comprise a computer 402, the computer 402 comprising a processing
unit 404, a system memory 406 and a system bus 408. The system bus
408 couples system components including, but not limited to, the
system memory 406 to the processing unit 404. The processing unit
404 can be any of various commercially available processors. Dual
microprocessors and other multiprocessor architectures can also be
employed as the processing unit 404.
[0115] The system bus 408 can be any of several types of bus
structure that can further interconnect to a memory bus (with or
without a memory controller), a peripheral bus, and a local bus
using any of a variety of commercially available bus architectures.
The system memory 406 comprises ROM 410 and RAM 412. A basic
input/output system (BIOS) can be stored in a non-volatile memory
such as ROM, erasable programmable read only memory (EPROM),
EEPROM, which BIOS contains the basic routines that help to
transfer information between elements within the computer 402, such
as during startup. The RAM 412 can also comprise a high-speed RAM
such as static RAM for caching data.
[0116] The computer 402 further comprises an internal hard disk
drive (HDD) 414 (e.g., EIDE, SATA), which internal HDD 414 can also
be configured for external use in a suitable chassis (not shown), a
magnetic floppy disk drive (FDD) 416, (e.g., to read from or write
to a removable diskette 418) and an optical disk drive 420, (e.g.,
reading a CD-ROM disk 422 or, to read from or write to other high
capacity optical media such as the DVD). The HDD 414, magnetic FDD
416 and optical disk drive 420 can be connected to the system bus
408 by a hard disk drive interface 424, a magnetic disk drive
interface 426 and an optical drive interface 428, respectively. The
hard disk drive interface 424 for external drive implementations
comprises at least one or both of Universal Serial Bus (USB) and
Institute of Electrical and Electronics Engineers (IEEE) 1394
interface technologies. Other external drive connection
technologies are within contemplation of the embodiments described
herein.
[0117] The drives and their associated computer-readable storage
media provide nonvolatile storage of data, data structures,
computer-executable instructions, and so forth. For the computer
402, the drives and storage media accommodate the storage of any
data in a suitable digital format. Although the description of
computer-readable storage media above refers to a hard disk drive
(HDD), a removable magnetic diskette, and a removable optical media
such as a CD or DVD, it should be appreciated by those skilled in
the art that other types of storage media which are readable by a
computer, such as zip drives, magnetic cassettes, flash memory
cards, cartridges, and the like, can also be used in the example
operating environment, and further, that any such storage media can
contain computer-executable instructions for performing the methods
described herein.
[0118] A number of program modules can be stored in the drives and
RAM 412, comprising an operating system 430, one or more
application programs 432, other program modules 434 and program
data 436. All or portions of the operating system, applications,
modules, and/or data can also be cached in the RAM 412. The systems
and methods described herein can be implemented utilizing various
commercially available operating systems or combinations of
operating systems.
[0119] A user can enter commands and information into the computer
402 through one or more wired/wireless input devices, e.g., a
keyboard 438 and a pointing device, such as a mouse 440. Other
input devices (not shown) can comprise a microphone, an infrared
(IR) remote control, a joystick, a game pad, a stylus pen, touch
screen or the like. These and other input devices are often
connected to the processing unit 404 through an input device
interface 442 that can be coupled to the system bus 408, but can be
connected by other interfaces, such as a parallel port, an IEEE
1394 serial port, a game port, a universal serial bus (USB) port,
an IR interface, etc.
[0120] A monitor 444 or other type of display device can be also
connected to the system bus 408 via an interface, such as a video
adapter 446. It will also be appreciated that in alternative
embodiments, a monitor 444 can also be any display device (e.g.,
another computer having a display, a smart phone, a tablet
computer, etc.) for receiving display information associated with
computer 402 via any communication means, including via the
Internet and cloud-based networks. In addition to the monitor 444,
a computer typically comprises other peripheral output devices (not
shown), such as speakers, printers, etc.
[0121] The computer 402 can operate in a networked environment
using logical connections via wired and/or wireless communications
to one or more remote computers, such as a remote computer(s) 448.
The remote computer(s) 448 can be a workstation, a server computer,
a router, a personal computer, portable computer,
microprocessor-based entertainment appliance, a peer device or
other common network node, and typically comprises many or all of
the elements described relative to the computer 402, although, for
purposes of brevity, only a remote memory/storage device 450 is
illustrated. The logical connections depicted comprise
wired/wireless connectivity to a local area network (LAN) 452
and/or larger networks, e.g., a wide area network (WAN) 454. Such
LAN and WAN networking environments are commonplace in offices and
companies, and facilitate enterprise-wide computer networks, such
as intranets, all of which can connect to a global communications
network, e.g., the Internet.
[0122] When used in a LAN networking environment, the computer 402
can be connected to the LAN 452 through a wired and/or wireless
communication network interface or adapter 456. The adapter 456 can
facilitate wired or wireless communication to the LAN 452, which
can also comprise a wireless AP disposed thereon for communicating
with the adapter 456.
[0123] When used in a WAN networking environment, the computer 402
can comprise a modem 458 or can be connected to a communications
server on the WAN 454 or has other means for establishing
communications over the WAN 454, such as by way of the Internet.
The modem 458, which can be internal or external and a wired or
wireless device, can be connected to the system bus 408 via the
input device interface 442. In a networked environment, program
modules depicted relative to the computer 402 or portions thereof,
can be stored in the remote memory/storage device 450. It will be
appreciated that the network connections shown are example and
other means of establishing a communications link between the
computers can be used.
[0124] The computer 402 can be operable to communicate with any
wireless devices or entities operatively disposed in wireless
communication, e.g., a printer, scanner, desktop and/or portable
computer, portable data assistant, communications satellite, any
piece of equipment or location associated with a wirelessly
detectable tag (e.g., a kiosk, news stand, restroom), and
telephone. This can comprise Wireless Fidelity (Wi-Fi) and
BLUETOOTH.RTM. wireless technologies. Thus, the communication can
be a predefined structure as with a conventional network or simply
an ad hoc communication between at least two devices.
[0125] Wi-Fi can allow connection to the Internet from a couch at
home, a bed in a hotel room or a conference room at work, without
wires. Wi-Fi is a wireless technology similar to that used in a
cell phone that enables such devices, e.g., computers, to send and
receive data indoors and out; anywhere within the range of a base
station. Wi-Fi networks use radio technologies called IEEE 802.11
(a, b, g, n, ac, ag, etc.) to provide secure, reliable, fast
wireless connectivity. A Wi-Fi network can be used to connect
computers to each other, to the Internet, and to wired networks
(which can use IEEE 802.3 or Ethernet). Wi-Fi networks operate in
the unlicensed 2.4 and 5 GHz radio bands for example or with
products that contain both bands (dual band), so the networks can
provide real-world performance similar to the basic 10BaseT wired
Ethernet networks used in many offices.
[0126] Turning now to FIG. 5, an embodiment 500 of a mobile network
platform 510 is shown that is an example of network elements 150,
152, 154, 156, and/or VNEs 330, 332, 334, etc. For example,
platform 510 can facilitate in whole or in part storage of personal
inventory data and/or provision of shopping suggestions as
described herein. In one or more embodiments, the mobile network
platform 510 can generate and receive signals transmitted and
received by base stations or access points such as base station or
access point 122. Generally, mobile network platform 510 can
comprise components, e.g., nodes, gateways, interfaces, servers, or
disparate platforms, that facilitate both packet-switched (PS)
(e.g., internet protocol (IP), frame relay, asynchronous transfer
mode (ATM)) and circuit-switched (CS) traffic (e.g., voice and
data), as well as control generation for networked wireless
telecommunication. As a non-limiting example, mobile network
platform 510 can be included in telecommunications carrier
networks, and can be considered carrier-side components as
discussed elsewhere herein. Mobile network platform 510 comprises
CS gateway node(s) 512 which can interface CS traffic received from
legacy networks like telephony network(s) 540 (e.g., public
switched telephone network (PSTN), or public land mobile network
(PLMN)) or a signaling system #7 (SS7) network 560. CS gateway
node(s) 512 can authorize and authenticate traffic (e.g., voice)
arising from such networks. Additionally, CS gateway node(s) 512
can access mobility, or roaming, data generated through SS7 network
560; for instance, mobility data stored in a visited location
register (VLR), which can reside in memory 530. Moreover, CS
gateway node(s) 512 interfaces CS-based traffic and signaling and
PS gateway node(s) 518. As an example, in a 3GPP UMTS network, CS
gateway node(s) 512 can be realized at least in part in gateway
GPRS support node(s) (GGSN). It should be appreciated that
functionality and specific operation of CS gateway node(s) 512, PS
gateway node(s) 518, and serving node(s) 516, is provided and
dictated by radio technology(ies) utilized by mobile network
platform 510 for telecommunication over a radio access network 520
with other devices, such as a radiotelephone 575.
[0127] In addition to receiving and processing CS-switched traffic
and signaling, PS gateway node(s) 518 can authorize and
authenticate PS-based data sessions with served mobile devices.
Data sessions can comprise traffic, or content(s), exchanged with
networks external to the mobile network platform 510, like wide
area network(s) (WANs) 550, enterprise network(s) 570, and service
network(s) 580, which can be embodied in local area network(s)
(LANs), can also be interfaced with mobile network platform 510
through PS gateway node(s) 518. It is to be noted that WANs 550 and
enterprise network(s) 570 can embody, at least in part, a service
network(s) like IP multimedia subsystem (IMS). Based on radio
technology layer(s) available in technology resource(s) or radio
access network 520, PS gateway node(s) 518 can generate packet data
protocol contexts when a data session is established; other data
structures that facilitate routing of packetized data also can be
generated. To that end, in an aspect, PS gateway node(s) 518 can
comprise a tunnel interface (e.g., tunnel termination gateway (TTG)
in 3GPP UMTS network(s) (not shown)) which can facilitate
packetized communication with disparate wireless network(s), such
as Wi-Fi networks.
[0128] In embodiment 500, mobile network platform 510 also
comprises serving node(s) 516 that, based upon available radio
technology layer(s) within technology resource(s) in the radio
access network 520, convey the various packetized flows of data
streams received through PS gateway node(s) 518. It is to be noted
that for technology resource(s) that rely primarily on CS
communication, server node(s) can deliver traffic without reliance
on PS gateway node(s) 518; for example, server node(s) can embody
at least in part a mobile switching center. As an example, in a
3GPP UMTS network, serving node(s) 516 can be embodied in serving
GPRS support node(s) (SGSN).
[0129] For radio technologies that exploit packetized
communication, server(s) 514 in mobile network platform 510 can
execute numerous applications that can generate multiple disparate
packetized data streams or flows, and manage (e.g., schedule,
queue, format . . . ) such flows. Such application(s) can comprise
add-on features to standard services (for example, provisioning,
billing, customer support . . . ) provided by mobile network
platform 510. Data streams (e.g., content(s) that are part of a
voice call or data session) can be conveyed to PS gateway node(s)
518 for authorization/authentication and initiation of a data
session, and to serving node(s) 516 for communication thereafter.
In addition to application server, server(s) 514 can comprise
utility server(s), a utility server can comprise a provisioning
server, an operations and maintenance server, a security server
that can implement at least in part a certificate authority and
firewalls as well as other security mechanisms, and the like. In an
aspect, security server(s) secure communication served through
mobile network platform 510 to ensure network's operation and data
integrity in addition to authorization and authentication
procedures that CS gateway node(s) 512 and PS gateway node(s) 518
can enact. Moreover, provisioning server(s) can provision services
from external network(s) like networks operated by a disparate
service provider; for instance, WAN 550 or Global Positioning
System (GPS) network(s) (not shown). Provisioning server(s) can
also provision coverage through networks associated to mobile
network platform 510 (e.g., deployed and operated by the same
service provider), such as the distributed antennas networks shown
in FIG. 1(s) that enhance wireless service coverage by providing
more network coverage.
[0130] It is to be noted that server(s) 514 can comprise one or
more processors configured to confer at least in part the
functionality of mobile network platform 510. To that end, the one
or more processor can execute code instructions stored in memory
530, for example. It is should be appreciated that server(s) 514
can comprise a content manager, which operates in substantially the
same manner as described hereinbefore.
[0131] In example embodiment 500, memory 530 can store information
related to operation of mobile network platform 510. Other
operational information can comprise provisioning information of
mobile devices served through mobile network platform 510,
subscriber databases; application intelligence, pricing schemes,
e.g., promotional rates, flat-rate programs, couponing campaigns;
technical specification(s) consistent with telecommunication
protocols for operation of disparate radio, or wireless, technology
layers; and so forth. Memory 530 can also store information from at
least one of telephony network(s) 540, WAN 550, SS7 network 560, or
enterprise network(s) 570. In an aspect, memory 530 can be, for
example, accessed as part of a data store component or as a
remotely connected memory store.
[0132] In order to provide a context for the various aspects of the
disclosed subject matter, FIG. 5, and the following discussion, are
intended to provide a brief, general description of a suitable
environment in which the various aspects of the disclosed subject
matter can be implemented. While the subject matter has been
described above in the general context of computer-executable
instructions of a computer program that runs on a computer and/or
computers, those skilled in the art will recognize that the
disclosed subject matter also can be implemented in combination
with other program modules. Generally, program modules comprise
routines, programs, components, data structures, etc. that perform
particular tasks and/or implement particular abstract data
types.
[0133] Turning now to FIG. 6, an illustrative embodiment of a
communication device 600 is shown. The communication device 600 can
serve as an illustrative embodiment of devices such as data
terminals 114, mobile devices 124, vehicle 126, display devices 144
or other client devices for communication via either communications
network 125. For example, computing device 600 can facilitate in
whole or in part storage of personal inventory data and/or
provision of shopping suggestions as described herein.
[0134] The communication device 600 can comprise a wireline and/or
wireless transceiver 602 (herein transceiver 602), a user interface
(UI) 604, a power supply 614, a location receiver 616, a motion
sensor 618, an orientation sensor 620, and a controller 606 for
managing operations thereof. The transceiver 602 can support
short-range or long-range wireless access technologies such as
Bluetooth.RTM., ZigBee.RTM., WiFi, DECT, or cellular communication
technologies, just to mention a few (Bluetooth.RTM. and ZigBee.RTM.
are trademarks registered by the Bluetooth.RTM. Special Interest
Group and the ZigBee.RTM. Alliance, respectively). Cellular
technologies can include, for example, CDMA-1X, UMTS/HSDPA,
GSM/GPRS, TDMA/EDGE, EV/DO, WiMAX, SDR, LTE, as well as other next
generation wireless communication technologies as they arise. The
transceiver 602 can also be adapted to support circuit-switched
wireline access technologies (such as PSTN), packet-switched
wireline access technologies (such as TCP/IP, VoIP, etc.), and
combinations thereof.
[0135] The UI 604 can include a depressible or touch-sensitive
keypad 608 with a navigation mechanism such as a roller ball, a
joystick, a mouse, or a navigation disk for manipulating operations
of the communication device 600. The keypad 608 can be an integral
part of a housing assembly of the communication device 600 or an
independent device operably coupled thereto by a tethered wireline
interface (such as a USB cable) or a wireless interface supporting
for example Bluetooth.RTM.. The keypad 608 can represent a numeric
keypad commonly used by phones, and/or a QWERTY keypad with
alphanumeric keys. The UI 604 can further include a display 610
such as monochrome or color LCD (Liquid Crystal Display), OLED
(Organic Light Emitting Diode) or other suitable display technology
for conveying images to an end user of the communication device
600. In an embodiment where the display 610 is touch-sensitive, a
portion or all of the keypad 608 can be presented by way of the
display 610 with navigation features.
[0136] The display 610 can use touch screen technology to also
serve as a user interface for detecting user input. As a touch
screen display, the communication device 600 can be adapted to
present a user interface having graphical user interface (GUI)
elements that can be selected by a user with a touch of a finger.
The display 610 can be equipped with capacitive, resistive or other
forms of sensing technology to detect how much surface area of a
user's finger has been placed on a portion of the touch screen
display. This sensing information can be used to control the
manipulation of the GUI elements or other functions of the user
interface. The display 610 can be an integral part of the housing
assembly of the communication device 600 or an independent device
communicatively coupled thereto by a tethered wireline interface
(such as a cable) or a wireless interface.
[0137] The UI 604 can also include an audio system 612 that
utilizes audio technology for conveying low volume audio (such as
audio heard in proximity of a human ear) and high volume audio
(such as speakerphone for hands free operation). The audio system
612 can further include a microphone for receiving audible signals
of an end user. The audio system 612 can also be used for voice
recognition applications. The UI 604 can further include an image
sensor 613 such as a charged coupled device (CCD) camera for
capturing still or moving images.
[0138] The power supply 614 can utilize common power management
technologies such as replaceable and rechargeable batteries, supply
regulation technologies, and/or charging system technologies for
supplying energy to the components of the communication device 600
to facilitate long-range or short-range portable communications.
Alternatively, or in combination, the charging system can utilize
external power sources such as DC power supplied over a physical
interface such as a USB port or other suitable tethering
technologies.
[0139] The location receiver 616 can utilize location technology
such as a global positioning system (GPS) receiver capable of
assisted GPS for identifying a location of the communication device
600 based on signals generated by a constellation of GPS
satellites, which can be used for facilitating location services
such as navigation. The motion sensor 618 can utilize motion
sensing technology such as an accelerometer, a gyroscope, or other
suitable motion sensing technology to detect motion of the
communication device 600 in three-dimensional space. The
orientation sensor 620 can utilize orientation sensing technology
such as a magnetometer to detect the orientation of the
communication device 600 (north, south, west, and east, as well as
combined orientations in degrees, minutes, or other suitable
orientation metrics).
[0140] The communication device 600 can use the transceiver 602 to
also determine a proximity to a cellular, WiFi, Bluetooth.RTM., or
other wireless access points by sensing techniques such as
utilizing a received signal strength indicator (RSSI) and/or signal
time of arrival (TOA) or time of flight (TOF) measurements. The
controller 606 can utilize computing technologies such as a
microprocessor, a digital signal processor (DSP), programmable gate
arrays, application specific integrated circuits, and/or a video
processor with associated storage memory such as Flash, ROM, RAM,
SRAM, DRAM or other storage technologies for executing computer
instructions, controlling, and processing data supplied by the
aforementioned components of the communication device 600.
[0141] Other components not shown in FIG. 6 can be used in one or
more embodiments of the subject disclosure. For instance, the
communication device 600 can include a slot for adding or removing
an identity module such as a Subscriber Identity Module (SIM) card
or Universal Integrated Circuit Card (UICC). SIM or UICC cards can
be used for identifying subscriber services, executing programs,
storing subscriber data, and so on.
[0142] In other examples, location services can be implemented via
WiFi signals, Bluetooth signals (standard and/or Low-Energy
versions), and/or other localized radio beacons to replace or
supplement GPS location information (in particular, GPS often does
not provide useful location information inside buildings,
especially multi-story buildings, so these other signals can be
used to provide more precise information using databases of stored
locations). In still other examples, new 5G radio systems operating
at the higher frequencies designated for 5G will also be able to
provide more precise supplementary location information and can be
utilized in this regard.
[0143] The terms "first," "second," "third," and so forth, as used
in the claims, unless otherwise clear by context, is for clarity
only and doesn't otherwise indicate or imply any order in time. For
instance, "a first determination," "a second determination," and "a
third determination," does not indicate or imply that the first
determination is to be made before the second determination, or
vice versa, etc.
[0144] In the subject specification, terms such as "store,"
"storage," "data store," data storage," "database," and
substantially any other information storage component relevant to
operation and functionality of a component, refer to "memory
components," or entities embodied in a "memory" or components
comprising the memory. It will be appreciated that the memory
components described herein can be either volatile memory or
nonvolatile memory, or can comprise both volatile and nonvolatile
memory, by way of illustration, and not limitation, volatile
memory, non-volatile memory, disk storage, and memory storage.
Further, nonvolatile memory can be included in read only memory
(ROM), programmable ROM (PROM), electrically programmable ROM
(EPROM), electrically erasable ROM (EEPROM), or flash memory.
Volatile memory can comprise random access memory (RAM), which acts
as external cache memory. By way of illustration and not
limitation, RAM is available in many forms such as synchronous RAM
(SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data
rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM
(SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the
disclosed memory components of systems or methods herein are
intended to comprise, without being limited to comprising, these
and any other suitable types of memory.
[0145] Moreover, it will be noted that the disclosed subject matter
can be practiced with other computer system configurations,
comprising single-processor or multiprocessor computer systems,
mini-computing devices, mainframe computers, as well as personal
computers, hand-held computing devices (e.g., PDA, phone,
smartphone, watch, tablet computers, netbook computers, etc.),
microprocessor-based or programmable consumer or industrial
electronics, and the like. The illustrated aspects can also be
practiced in distributed computing environments where tasks are
performed by remote processing devices that are linked through a
communications network; however, some if not all aspects of the
subject disclosure can be practiced on stand-alone computers. In a
distributed computing environment, program modules can be located
in both local and remote memory storage devices.
[0146] In one or more embodiments, information regarding use of
services can be generated including services being accessed, media
consumption history, user preferences, and so forth. This
information can be obtained by various methods including user
input, detecting types of communications (e.g., video content vs.
audio content), analysis of content streams, sampling, and so
forth. The generating, obtaining and/or monitoring of this
information can be responsive to an authorization provided by the
user. In one or more embodiments, an analysis of data can be
subject to authorization from user(s) associated with the data,
such as an opt-in, an opt-out, acknowledgement requirements,
notifications, selective authorization based on types of data, and
so forth.
[0147] Some of the embodiments described herein can also employ
artificial intelligence (AI) to facilitate automating one or more
features described herein. The embodiments (e.g., in connection
with automatically storing personal inventory data and/or provision
of shopping suggestions as described herein) can employ various
AI-based schemes for carrying out various embodiments thereof.
Moreover, the classifier can be employed to determine a ranking or
priority of each shopping suggestion. A classifier is a function
that maps an input attribute vector, x=(x1, x2, x3, x4, . . . ,
xn), to a confidence that the input belongs to a class, that is,
f(x)=confidence (class). Such classification can employ a
probabilistic and/or statistical-based analysis (e.g., factoring
into the analysis utilities and costs) to determine or infer an
action that a user desires to be automatically performed. A support
vector machine (SVM) is an example of a classifier that can be
employed. The SVM operates by finding a hypersurface in the space
of possible inputs, which the hypersurface attempts to split the
triggering criteria from the non-triggering events. Intuitively,
this makes the classification correct for testing data that is
near, but not identical to training data. Other directed and
undirected model classification approaches comprise, e.g., naive
Bayes, Bayesian networks, decision trees, neural networks, fuzzy
logic models, and probabilistic classification models providing
different patterns of independence can be employed. Classification
as used herein also is inclusive of statistical regression that is
utilized to develop models of priority.
[0148] As will be readily appreciated, one or more of the
embodiments can employ classifiers that are explicitly trained
(e.g., via a generic training data) as well as implicitly trained
(e.g., via observing UE behavior, operator preferences, historical
information, receiving extrinsic information). For example, SVMs
can be configured via a learning or training phase within a
classifier constructor and feature selection module. Thus, the
classifier(s) can be used to automatically learn and perform a
number of functions, including but not limited to determining
according to predetermined criteria which of the acquired cell
sites will benefit a maximum number of subscribers and/or which of
the acquired cell sites will add minimum value to the existing
communication network coverage, etc.
[0149] As used in some contexts in this application, in some
embodiments, the terms "component," "system" and the like are
intended to refer to, or comprise, a computer-related entity or an
entity related to an operational apparatus with one or more
specific functionalities, wherein the entity can be either
hardware, a combination of hardware and software, software, or
software in execution. As an example, a component may be, but is
not limited to being, a process running on a processor, a
processor, an object, an executable, a thread of execution,
computer-executable instructions, a program, and/or a computer. By
way of illustration and not limitation, both an application running
on a server and the server can be a component. One or more
components may reside within a process and/or thread of execution
and a component may be localized on one computer and/or distributed
between two or more computers. In addition, these components can
execute from various computer readable media having various data
structures stored thereon. The components may communicate via local
and/or remote processes such as in accordance with a signal having
one or more data packets (e.g., data from one component interacting
with another component in a local system, distributed system,
and/or across a network such as the Internet with other systems via
the signal). As another example, a component can be an apparatus
with specific functionality provided by mechanical parts operated
by electric or electronic circuitry, which is operated by a
software or firmware application executed by a processor, wherein
the processor can be internal or external to the apparatus and
executes at least a part of the software or firmware application.
As yet another example, a component can be an apparatus that
provides specific functionality through electronic components
without mechanical parts, the electronic components can comprise a
processor therein to execute software or firmware that confers at
least in part the functionality of the electronic components. While
various components have been illustrated as separate components, it
will be appreciated that multiple components can be implemented as
a single component, or a single component can be implemented as
multiple components, without departing from example
embodiments.
[0150] Further, the various embodiments can be implemented as a
method, apparatus or article of manufacture using standard
programming and/or engineering techniques to produce software,
firmware, hardware or any combination thereof to control a computer
to implement the disclosed subject matter. The term "article of
manufacture" as used herein is intended to encompass a computer
program accessible from any computer-readable device or
computer-readable storage/communications media. For example,
computer readable storage media can include, but are not limited
to, magnetic storage devices (e.g., hard disk, floppy disk,
magnetic strips), optical disks (e.g., compact disk (CD), digital
versatile disk (DVD)), smart cards, and flash memory devices (e.g.,
card, stick, key drive). Of course, those skilled in the art will
recognize many modifications can be made to this configuration
without departing from the scope or spirit of the various
embodiments.
[0151] In addition, the words "example" and "exemplary" are used
herein to mean serving as an instance or illustration. Any
embodiment or design described herein as "example" or "exemplary"
is not necessarily to be construed as preferred or advantageous
over other embodiments or designs. Rather, use of the word example
or exemplary is intended to present concepts in a concrete fashion.
As used in this application, the term "or" is intended to mean an
inclusive "or" rather than an exclusive "or". That is, unless
specified otherwise or clear from context, "X employs A or B" is
intended to mean any of the natural inclusive permutations. That
is, if X employs A; X employs B; or X employs both A and B, then "X
employs A or B" is satisfied under any of the foregoing instances.
In addition, the articles "a" and "an" as used in this application
and the appended claims should generally be construed to mean "one
or more" unless specified otherwise or clear from context to be
directed to a singular form.
[0152] Moreover, terms such as "user equipment," "mobile station,"
"mobile," subscriber station," "access terminal," "terminal,"
"handset," "mobile device" (and/or terms representing similar
terminology) can refer to a wireless device utilized by a
subscriber or user of a wireless communication service to receive
or convey data, control, voice, video, sound, gaming or
substantially any data-stream or signaling-stream. The foregoing
terms are utilized interchangeably herein and with reference to the
related drawings.
[0153] Furthermore, the terms "user," "subscriber," "customer,"
"consumer" and the like are employed interchangeably throughout,
unless context warrants particular distinctions among the terms. It
should be appreciated that such terms can refer to human entities
or automated components supported through artificial intelligence
(e.g., a capacity to make inference based, at least, on complex
mathematical formalisms), which can provide simulated vision, sound
recognition and so forth.
[0154] As employed herein, the term "processor" can refer to
substantially any computing processing unit or device comprising,
but not limited to comprising, single-core processors;
single-processors with software multithread execution capability;
multi-core processors; multi-core processors with software
multithread execution capability; multi-core processors with
hardware multithread technology; parallel platforms; and parallel
platforms with distributed shared memory. Additionally, a processor
can refer to an integrated circuit, an application specific
integrated circuit (ASIC), a digital signal processor (DSP), a
field programmable gate array (FPGA), a programmable logic
controller (PLC), a complex programmable logic device (CPLD), a
discrete gate or transistor logic, discrete hardware components or
any combination thereof designed to perform the functions described
herein. Processors can exploit nano-scale architectures such as,
but not limited to, molecular and quantum-dot based transistors,
switches and gates, in order to optimize space usage or enhance
performance of user equipment. A processor can also be implemented
as a combination of computing processing units.
[0155] As used herein, terms such as "data storage," data storage,"
"database," and substantially any other information storage
component relevant to operation and functionality of a component,
refer to "memory components," or entities embodied in a "memory" or
components comprising the memory. It will be appreciated that the
memory components or computer-readable storage media, described
herein can be either volatile memory or nonvolatile memory or can
include both volatile and nonvolatile memory.
[0156] What has been described above includes mere examples of
various embodiments. It is, of course, not possible to describe
every conceivable combination of components or methodologies for
purposes of describing these examples, but one of ordinary skill in
the art can recognize that many further combinations and
permutations of the present embodiments are possible. Accordingly,
the embodiments disclosed and/or claimed herein are intended to
embrace all such alterations, modifications and variations that
fall within the spirit and scope of the appended claims.
Furthermore, to the extent that the term "includes" is used in
either the detailed description or the claims, such term is
intended to be inclusive in a manner similar to the term
"comprising" as "comprising" is interpreted when employed as a
transitional word in a claim.
[0157] In addition, a flow diagram may include a "start" and/or
"continue" indication. The "start" and "continue" indications
reflect that the steps presented can optionally be incorporated in
or otherwise used in conjunction with other routines. In this
context, "start" indicates the beginning of the first step
presented and may be preceded by other activities not specifically
shown. Further, the "continue" indication reflects that the steps
presented may be performed multiple times and/or may be succeeded
by other activities not specifically shown. Further, while a flow
diagram indicates a particular ordering of steps, other orderings
are likewise possible provided that the principles of causality are
maintained.
[0158] As may also be used herein, the term(s) "operably coupled
to", "coupled to", and/or "coupling" includes direct coupling
between items and/or indirect coupling between items via one or
more intervening items. Such items and intervening items include,
but are not limited to, junctions, communication paths, components,
circuit elements, circuits, functional blocks, and/or devices. As
an example of indirect coupling, a signal conveyed from a first
item to a second item may be modified by one or more intervening
items by modifying the form, nature or format of information in a
signal, while one or more elements of the information in the signal
are nevertheless conveyed in a manner than can be recognized by the
second item. In a further example of indirect coupling, an action
in a first item can cause a reaction on the second item, as a
result of actions and/or reactions in one or more intervening
items.
[0159] Although specific embodiments have been illustrated and
described herein, it should be appreciated that any arrangement
which achieves the same or similar purpose may be substituted for
the embodiments described or shown by the subject disclosure. The
subject disclosure is intended to cover any and all adaptations or
variations of various embodiments. Combinations of the above
embodiments, and other embodiments not specifically described
herein, can be used in the subject disclosure. For instance, one or
more features from one or more embodiments can be combined with one
or more features of one or more other embodiments. In one or more
embodiments, features that are positively recited can also be
negatively recited and excluded from the embodiment with or without
replacement by another structural and/or functional feature. The
steps or functions described with respect to the embodiments of the
subject disclosure can be performed in any order. The steps or
functions described with respect to the embodiments of the subject
disclosure can be performed alone or in combination with other
steps or functions of the subject disclosure, as well as from other
embodiments or from other steps that have not been described in the
subject disclosure. Further, more than or less than all of the
features described with respect to an embodiment can also be
utilized.
* * * * *